IIIT-L / indic-bert-finetuned-code-mixed-DS

huggingface.co
Total runs: 14
24-hour runs: 1
7-day runs: 4
30-day runs: 4
Model's Last Updated: December 30 2023
text-classification

Introduction of indic-bert-finetuned-code-mixed-DS

Model Details of indic-bert-finetuned-code-mixed-DS

indic-bert-finetuned-code-mixed-DS

This model is a fine-tuned version of ai4bharat/indic-bert on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8647
  • Accuracy: 0.5795
  • Precision: 0.5485
  • Recall: 0.5287
  • F1: 0.4391
Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-06
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 43
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
1.0937 2.0 497 1.0813 0.3602 0.3587 0.4257 0.2834
1.0189 3.99 994 0.9482 0.5493 0.3887 0.5246 0.4080
0.9208 5.99 1491 0.9002 0.5714 0.3813 0.5292 0.4170
0.8803 7.98 1988 0.8758 0.5654 0.3889 0.5300 0.4159
0.8482 9.98 2485 0.8657 0.5795 0.3867 0.5365 0.4228
0.8293 11.98 2982 0.8734 0.5835 0.3796 0.5298 0.4214
0.8131 13.97 3479 0.8567 0.5835 0.5018 0.5414 0.4350
0.8 15.97 3976 0.8547 0.5835 0.5610 0.5460 0.4361
0.7933 17.96 4473 0.8650 0.5775 0.5317 0.5252 0.4373
0.7835 19.96 4970 0.8647 0.5795 0.5485 0.5287 0.4391
Framework versions
  • Transformers 4.20.1
  • Pytorch 1.10.1+cu111
  • Datasets 2.3.2
  • Tokenizers 0.12.1

Runs of IIIT-L indic-bert-finetuned-code-mixed-DS on huggingface.co

14
Total runs
1
24-hour runs
3
3-day runs
4
7-day runs
4
30-day runs

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